Sanjiv Sam Gambhir, MD

Dr. Sanjiv Sam Gambhir is the Virginia and D.K. Ludwig Professor of Cancer Research and the Chair of Radiology at Stanford University School of Medicine. He also heads up the Canary Center at Stanford for Cancer Early Detection. He received his MD/PhD from the UCLA Medical Scientist Training Program. He has over 400 publications in the field and over 40 patents pending or granted. An internationally recognized researcher in molecular imaging with over $75 Million of NIH funding as the PI, his lab has focused on interrogating fundamental molecular events in living subjects. He has developed and clinically translated several multimodality molecular imaging strategies including imaging of gene and cell therapies. He has also developed strategies for Raman and Photoacoustic molecular imaging. He serves as an advisor to several companies including General Electric Medical Systems and Bayer-Schering and has also co-founded several imaging startups.

He serves on numerous academic advisory boards for Universities around the world and is also a member of the Scientific Advisory Board of the National Cancer Institute. Among his many awards he is the recipient of the George Von Hevesy Prize and the Paul C. Aebersold Award for outstanding achievement in basic nuclear medicine science from the Society of Nuclear Medicine, Outstanding Researcher Award from the Radiological Society of Northern America in 2009, the Distinguished Clinical Scientist Award from the Doris Duke Charitable Foundation, the Holst Medal, the Tesla Medal, and the Hounsfield Medal from Imperial College, London. He was also elected to the Institute of Medicine of the US National Academies in 2008.

The NvisionVLE Imaging System is indicated for use as an imaging tool in the evaluation of human tissue microstructure, including esophageal tissue microstructure, by providing two-dimensional, cross-sectional, real-time depth visualization and may be used to mark areas of tissue.

The safety and effectiveness of this device for diagnostic analysis (i.e. differentiating normal versus specific abnormalities) in any tissue microstructure or specific disease has not been evaluated.